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analytical data scientist

Gathern

<div>Data Scientist: 
Drive data-driven decision-making by developing analytical models, extracting actionable insights, and translating complex datasets into measurable business impact aligned with company strategy.<div> 
Key Accountabilities: 
<ul><li>Develop predictive and statistical models to support business objectives</li><li>Perform data cleaning, transformation, and feature engineering</li><li>Translate business problems into analytical frameworks</li><li>Build dashboards and data visualizations for stakeholders</li><li>Conduct exploratory data analysis (EDA) to uncover trends and insights</li><li>Collaborate with Product, Marketing, and Engineering teams</li><li>Monitor model performance and ensure continuous optimization</li></ul></div> 
Core Behavioral Competencies:<ul><li>Strategic Vision &amp; Agility &ndash; Proficient</li><li>Growth Mindset &ndash; Proficient</li><li>Scalable Execution &ndash; Proficient</li><li>People Leadership &amp; Talent Development &ndash; Basic/Proficient</li><li>Governance &amp; Ethical Conduct &ndash; Proficient</li><li>Customer Centricity &ndash; Proficient</li><li>Innovative Thinking &amp; Digital Fluency &ndash; Expert</li><li>Stakeholder Management &ndash; Proficient</li></ul><div>
Technical Competencies: 
<ul><li>Data Modeling &amp; Statistical Analysis &ndash; Proficient</li><li>Machine Learning &amp; Predictive Modeling &ndash; Proficient</li><li>Data Wrangling &amp; Feature Engineering &ndash; Proficient</li><li>Data Visualization &amp; Storytelling &ndash; Proficient</li><li>SQL &amp; Database Querying &ndash; Proficient</li><li>Python / R for Data Science &ndash; Proficient</li><li>Experimentation &amp; A/B Testing &ndash; Basic/Proficient</li><li>Model Deployment &amp; Monitoring &ndash; Basic/Proficient</li></ul></div> 
Requirements 
Education:<ul><li>Bachelor&rsquo;s degree in Data Science, Statistics, Computer Science, Mathematics, or related field.</li></ul>
 Experience:<ul><li>4&ndash;6 years in data science or advanced analytics roles</li><li>Experience building and deploying machine learning models</li><li>Experience working with large structured and unstructured datasets</li><li>Experience collaborating with cross-functional teams</li></ul></div>

Data Scientist

Gathern | جاذر إن

<div>
 
 Data Scientist:
 
 
 
 Drive data-driven decision-making by developing analytical models, extracting actionable insights, and translating complex datasets into measurable business impact aligned with company strategy.
 
 
 
 Key Accountabilities:
 
 
 
 <ul>
 <li>
 Develop predictive and statistical models to support business objectives
 </li>
 <li>
 Perform data cleaning, transformation, and feature engineering
 </li>
 <li>
 Translate business problems into analytical frameworks
 </li>
 <li>
 Build dashboards and data visualizations for stakeholders
 </li>
 <li>
 Conduct exploratory data analysis (EDA) to uncover trends and insights
 </li>
 <li>
 Collaborate with Product, Marketing, and Engineering teams
 </li>
 <li>
 Monitor model performance and ensure continuous optimization
 
 
 </li>
 </ul>
 
 Core Behavioral Competencies:
 
 
 
 <ul>
 <li>
 Strategic Vision &amp; Agility - Proficient
 </li>
 <li>
 Growth Mindset - Proficient
 </li>
 <li>
 Scalable Execution - Proficient
 </li>
 <li>
 People Leadership &amp; Talent Development - Basic/Proficient
 </li>
 <li>
 Governance &amp; Ethical Conduct - Proficient
 </li>
 <li>
 Customer Centricity - Proficient
 </li>
 <li>
 Innovative Thinking &amp; Digital Fluency - Expert
 </li>
 <li>
 Stakeholder Management - Proficient
 
 
 </li>
 </ul>
 
 Technical Competencies:
 
 
 
 <ul>
 <li>
 Data Modeling &amp; Statistical Analysis - Proficient
 </li>
 <li>
 Machine Learning &amp; Predictive Modeling - Proficient
 </li>
 <li>
 Data Wrangling &amp; Feature Engineering - Proficient
 </li>
 <li>
 Data Visualization &amp; Storytelling - Proficient
 </li>
 <li>
 SQL &amp; Database Querying - Proficient
 </li>
 <li>
 Python / R for Data Science - Proficient
 </li>
 <li>
 Experimentation &amp; A/B Testing - Basic/Proficient
 </li>
 <li>
 Model Deployment &amp; Monitoring - Basic/Proficient
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Education
 
 :
 
 
 <ul>
 <li>
 Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related field
 
 
 </li>
 </ul>
 
 Experience
 
 :
 
 
 <ul>
 <li>
 4-6 years in data science or advanced analytics roles
 </li>
 <li>
 Experience building and deploying machine learning models
 </li>
 <li>
 Experience working with large structured and unstructured datasets
 </li>
 <li>
 Experience collaborating with cross-functional teams
 </li>
 </ul>
</div>

MOZN

<div>
 
 About Mozn
 
 
 
 MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
 
 
 We&rsquo;re a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
 
 
 If you&rsquo;re passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
 
 
 
 About The Role
 
 
 
 We are searching for a strategic and inquisitive Data Scientist. As a member of Mozn's Data Science team, you will work with cross-disciplinary teams to identify the problems to be solved, specify the problems in mathematical and statistical terms, scope out the project/product in collaboration with your team and external stakeholders, and then go about answering the identified questions. You find insights that spur teams and stakeholders to improve their business/product and drive value for internal and external stakeholders.
 
 
 
 
 What you&rsquo;ll d
 
 
 
 
 o
 
 
 
 
 <ul>
 <li>
 Work with cross-functional teammates from engineering, products, business, and marketing to deliver data-powered solutions.
 </li>
 <li>
 Communicate highly technical results and methods clearly to a wide variety of external clients.
 </li>
 <li>
 Analyze and extract insights from multiple and complex datasets through regression analysis, hypothesis testing, and other machine learning techniques.
 </li>
 <li>
 Develop and apply new machine learning techniques to ensure modern yet optimal approaches are applied to Mozn's solutions.
 </li>
 <li>
 Develop data pipelines and ingestion engines for Natural Language Understanding and/or Risk Management; as well as contribute to current engines at Mozn.
 </li>
 <li>
 Engage with stakeholders to identify and define the scope of challenges and propose data-powered solutions.
 </li>
 <li>
 Plan and execute solutions' development from data gathering to intelligent decision making.
 </li>
 <li>
 Staying informed with new frameworks and technological advances to increase Mozn's efficiency and productivity.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 B.S. or M.S. in Computer Science, Statistics, Mathematics or similar quantitative fields.
 </li>
 <li>
 3-5 years of Relevant experience as a data scientist, or similar fields that require developing ML/AI models. Over 2 years for B.S. degree and over 1 year for M.S.
 </li>
 <li>
 Programming experience over two years in object oriented programming, including data manipulation using Python or other languages.
 </li>
 <li>
 Good understanding of statistics and probability, such as Bayesian methods and conditional probability.
 </li>
 <li>
 Applied experience in machine learning, such as conducting model experiments.
 </li>
 <li>
 Experience in version control systems, such as Git, GitHub.
 </li>
 <li>
 Programming experience in SQL or NoSQL is preferred.
 </li>
 <li>
 Familiarity with big data technologies, such as Spark.
 </li>
 <li>
 Experience in deep learning frameworks, such as PyTorch.
 </li>
 <li>
 Expertise in Natural Language Understanding and/or Risk Management applications.
 </li>
 <li>
 Familiarity with containerization frameworks, such as Docker.
 </li>
 <li>
 Research experience in optimization and natural language processing (NLP).
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
 </li>
 <li>
 You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
 </li>
 <li>
 The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
 </li>
 <li>
 You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
 </li>
 <li>
 We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.
 </li>
 </ul>
</div>

CNTXT

<div>
 
 
 Job Summary
 
 
 
 We are seeking a highly skilled Data Scientist to lead the design, development, and deployment of advanced autonomous agents and Large Language Models (LLMs). This role offers the chance to drive innovative AI solutions in a collaborative, dynamic environment, working on cutting-edge systems that solve real-world challenges.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Agent Development: Design and implement autonomous agents that perform tasks, call external tools/APIs, and generate code to solve complex problems.
 </li>
 <li>
 LLM Integration: Develop and integrate Large Language Models to enhance agent capabilities in decision-making and natural language processing.
 </li>
 <li>
 Tooling: Equip agents with the right toolchains&mdash;RAG, vector DBs, third-party APIs&mdash;to streamline task execution.
 </li>
 <li>
 Safety &amp; Ethics: Incorporate guardrails, alignment tests, and compliance standards to ensure secure, reliable operation.
 </li>
 <li>
 Performance Optimisation: Use MLOps/DevOps best practices to monitor, benchmark, and refine models for cost-efficient scale.
 </li>
 <li>
 Collaboration: Partner with cross-functional teams to align technical solutions with business goals.
 </li>
 <li>
 Performance Optimization: Refine agent and LLM performance using MLOps and DevOps best practices.
 </li>
 <li>
 Deployment: Own end-to-end rollout on cloud (AWS, Azure, or GCP), containerising with Docker/Kubernetes where appropriate.
 </li>
 <li>
 Cross-functional Alignment: Work closely with product, engineering, and domain SMEs to translate business goals into technical roadmaps.
 </li>
 <li>
 Mentorship: Coach and review work of junior data scientists/ML engineers.
 </li>
 <li>
 Innovation: Dedicate a portion of your time to tracking AI trends and prototyping new autonomous-agent capabilities.
 </li>
 <li>
 Communication: Present insights and outcomes clearly to both technical and non-technical stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Master&rsquo;s or Ph.D. in Computer Science, Artificial Intelligence, or related field (or equivalent practical experience).
 </li>
 <li>
 5 + years in data science/ML engineering, with 2 + years building AI systems that include autonomous agents or LLMs.
 </li>
 <li>
 Proven record of deploying agentic systems with integrated safety features.
 </li>
 <li>
 Expert-level Python and deep familiarity with PyTorch or TensorFlow.
 </li>
 <li>
 Hands-on experience running production workloads on at least one major cloud platform.
 </li>
 <li>
 Solid grasp of MLOps (CI/CD, model monitoring, IaC).
 </li>
 <li>
 Strong problem-solving ability and clear, concise communication skills.
 </li>
 </ul>
</div>

Visa

<div>About Us 
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale &mdash; tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters &ndash; to you, to your community, and to the world. Progress starts with you.
Job Description
Responsibilities:<ul><li>
Serve as an analytics expert in designing, developing and implementing best in analytic solutions</li><li>
Create and deliver powerful insights from data through better visualization and storyboarding</li><li>
Collaborate with internal and external partners to fully understand business requirements and desired business outcomes</li><li>
Demonstrate execution proficiency in handing multiple medium-to-large analytics projects in a team environment that includes the rest of the Data Science team</li><li>
Draft detailed scope for assigned projects, addressing suggested methodology and analytics plan</li><li>
Execute on the analytics plan with appropriate data mining and analytical techniques</li><li>
Perform quality assurance of data and deliverables for work performed by other Data Scientists and self</li><li>
Ensure all project documentation is up to date and all projects are reviewed per analytics plan</li><li>
Ensure project delivery within timelines and budget requirements</li><li>
Build on team&rsquo;s analytical skills and business knowledge</li><li>
Enhance existing analytics techniques by promoting new methodologies and best practices in the Data Science field</li><li>
Provide subject matter expertise and quality assurance of complex data-driven analytic projects</li></ul>
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications
Experience in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.)
Ability to write scratch MapReduce jobs and fluency with Spark frameworks
Familiarity with both common computing environments (e.g. Linux, Shell Scripting) and commonly-used IDE&rsquo;s (Jupyter Notebooks); proficiency in SAS technologies and techniques
Strong programming ability in different programming languages such as Python, R, Scala, Java, Matlab, C++, and SQL
Experience in drafting solution architecture frameworks that rely on API&rsquo;s and micro-services
Familiarity with common data modeling approaches, and ability to work with various datatypes including JSON, XML, etc.
Ability to build data pipelines (e.g. ETL, data preparation, data aggregation and analysis) using tools such as NiFi, Sqoop, Ab Initio; familiarity with data lineage processes and schema management tools such as Avro
Proficient in some or all of the following techniques: Linear &amp; Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Markov Chain, Monte Carlo, Gibbs Sampling, Evolutionary Algorithms (e.g. Genetic Algorithms, Genetic Programming), Support Vector Machines, Neural Networks, etc.
Expert knowledge of advanced data mining and statistical modeling techniques, including Predictive modeling (e.g., binomial and multinomial regression, ANOVA); Classification techniques (e.g., Clustering, Principal Component Analysis, factor analysis); Decision Tree techniques (e.g., CART, CHAID)
Deliver results within committed scope, timeline and budget
Very strong people/project management skills and experience
Ability to travel within MENA on short notice
Visa is an EEO Employer
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.</div>

Analyst, Data Science

Takamol Holding

<div>
 
 The
 
 Senior Data Scientist Specialist
 
 is responsible for analyzing complex data related to customer behavior, product performance, and business operations to provide actionable insights that drive strategic decisions. This role combines deep analytical skills with a business-oriented mindset, working closely with product, marketing, and customer experience teams to identify trends, optimize products, and enhance customer satisfaction. The Senior Data Scientist will leverage advanced statistical models, machine learning, and data visualization to uncover insights and guide decision-making.
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 <ul>
 <li>
 Analyze customer data to identify behavior patterns, segmentation opportunities, and churn drivers, supporting initiatives to improve customer engagement and retention.
 </li>
 <li>
 Assess product performance through data-driven insights, identifying areas for improvement, new features, and potential optimizations to increase product value and customer satisfaction.
 </li>
 <li>
 Develop predictive models and forecasting techniques to support customer lifecycle management, product adoption trends, and demand forecasting.
 </li>
 <li>
 Work closely with product, marketing, and customer experience teams to translate business needs into analytical solutions, fostering data-driven decision-making.
 </li>
 <li>
 Design and conduct A/B tests and experiments to measure the impact of new features, marketing campaigns, and product changes on customer behavior and satisfaction.
 </li>
 <li>
 Create and maintain reports and dashboards to track key business metrics related to customer and product performance, ensuring alignment with organizational goals.
 </li>
 <li>
 Present complex data insights in a clear and accessible manner to stakeholders, using data visualization techniques to support storytelling and decision-making.
 </li>
 </ul>
 
 
 
 
 
 
 Required Skills &amp; Qualifications:
 
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Statistics, Data Science, Economics, Econometrics, Quantitative Finance, Mathematics, Physics, or a related field.
 </li>
 <li>
 4+ years of experience in data science, analytics, or a similar role, with a focus on customer and product analysis.
 </li>
 <li>
 Data Analysis, Statistical Modeling and Machine Learning.
 </li>
 <li>
 Customer &amp; Product Insights.
 </li>
 <li>
 Data Visualization &amp; Storytelling.
 </li>
 <li>
 Experimentation &amp; A/B Testing.
 </li>
 <li>
 Familiarity with CDPs and Product Analytics Tools.
 </li>
 <li>
 Agile Environment Experience.
 </li>
 </ul>
</div>

Senior Data Scientist Specialist

Discovered MENA

<div>
 
 💻 Staff Data Scientist (Business Analytics)
 
 
 📍 Remote
 
 
 
 
 
 We&rsquo;re hiring a
 
 Staff Data Scientist (Business Analytics)
 
 to lead strategic analytics and causal measurement for high-impact growth initiatives.
 
 
 
 
 
 In this role, you&rsquo;ll build the frameworks that guide leadership decisions&mdash;forecasting outcomes, sizing opportunities, measuring ROI, and uncovering true incrementality across the business. You&rsquo;ll work closely with senior stakeholders to ensure resources are directed toward the highest-value opportunities.
 
 
 
 
 
 This is a senior individual contributor role for someone who combines deep statistical expertise with strong business judgment and the ability to communicate insights clearly.
 
 
 
 
 
 🔍 What You&rsquo;ll Do
 
 <ul>
 <li>
 Design and maintain forecasting models for revenue, GMV, merchant growth, and other key drivers
 </li>
 <li>
 Lead opportunity sizing across new products, pricing strategies, and market expansion efforts
 </li>
 <li>
 Develop causal measurement frameworks (e.g., synthetic control, diff-in-diff, geo-experiments) to evaluate true business impact
 </li>
 <li>
 Build a scalable measurement playbook covering incrementality, attribution, and counterfactual analysis
 </li>
 <li>
 Create segmentation and scoring models to drive prioritisation across sales, marketing, and merchant success
 </li>
 <li>
 Define and evolve decision-grade metrics and KPIs with Finance, Product, and Commercial teams
 </li>
 <li>
 Translate complex analyses into clear, actionable insights for senior leadership
 </li>
 <li>
 Mentor and elevate analytical rigor across the data science team
 </li>
 </ul>
 
 
 
 
 ✅ What I'm Looking For
 
 <ul>
 <li>
 7+ years of experience in data science, product analytics, or applied statistics within a tech environment
 </li>
 <li>
 Strong experience designing, running, and analysing large-scale A/B experiments (including pitfalls like SRM, peeking, and novelty effects)
 </li>
 <li>
 Deep understanding of event tracking and analytics instrumentation best practices
 </li>
 <li>
 Advanced proficiency in SQL and Python (pandas, scipy, statsmodels, etc.)
 </li>
 <li>
 Solid grounding in statistics: hypothesis testing, power analysis, causal inference, and experimentation design
 </li>
 <li>
 Experience defining product health, guardrail, and north-star metrics
 </li>
 <li>
 Proven ability to translate data into strategic recommendations
 </li>
 <li>
 Strong communication skills with experience influencing senior stakeholders
 </li>
 </ul>
 
 
 
 
 🌟 Bonus points if you:
 
 <ul>
 <li>
 Are fluent in Arabic language
 </li>
 <li>
 Based in Saudi Arabia (Jeddah or Makkah preferred)
 </li>
 <li>
 Experience in e-commerce, marketplaces, or SaaS environments
 </li>
 <li>
 Familiarity with experimentation tools (Eppo, Statsig, LaunchDarkly, Optimizely)
 </li>
 <li>
 Experience with BI tools (Looker, Metabase) and modern data stacks (dbt, ClickHouse, BigQuery)
 </li>
 <li>
 Knowledge of Bayesian methods, sequential testing, or bandit algorithms
 </li>
 <li>
 Experience working in the GCC region
 </li>
 </ul>
 
 
</div>

Staff Data Scientist 📍 Remote

Explore 1349+ Analytical data scientist in Riyadh this May. Find roles across top companies and apply now to boost your career.

1349 analytical data scientist jobs In Riyadh

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Analyst, Data Science

Senior Data Scientist Specialist

Staff Data Scientist 📍 Remote